Productivity Of Cows Research Articles

Sensitivity analysis of the INRA 2018 feeding system for ruminants by hybrid local and global approaches: Comparing the contribution of dietary input variables to multiple response prediction in dairy cattle

We conducted sensitivity analysis (SA) of the INRA 2018 feeding system for ruminants applied to dairy cows. We evaluated which dietary input variables contribute most to changes in each output variable, considering the potential interactions presence among input variables. A quantitative analysis (one-at-a-time analysis, OAT; i.e., local SA) and a relative comparative analysis (global SA, GSA) through variance-based SA considering potential interactions and non-monotonicity were applied. The 5 likely influential dietary input variables were selected: CP, Gross energy (GE), OM apparent digestibility (OMd), effective degradability of nitrogen assuming a passage rate of 6%/h (ED6_N) and true intestinal digestibility of nitrogen. The sensitivity of 5 selected animal responses (output variables) to input variables was analyzed: DMI, milk protein yield (MPY), energy in methane (ECH4), nitrogen utilization efficiency (NUE), and ratio between urine and total N excretion (UN/TN). Six diets for dairy cattle, reflecting the diversity of diets commonly used in practice, were formulated to meet 95% of the potential milk production (37.5 kg/d) of a multiparous dairy cow at wk 14 of lactation. For each diet, the 5 input variables were randomly sampled around the INRA 2018 feed table values (reference point), and the animal responses around this reference situation were calculated using the rationing software INRAtion®V5. In OAT, the sensitivity of animal responses was quantified by calculating the normalized tangent value at the reference point, and in GSA, the Sobol indices were calculated for relative influence of each input and their interaction. The influence of the 5 key input variables on the 5 main animal responses predicted from the INRA feeding system was consistent across both SA approaches. With the 6 diets, GE and OMd appeared as the main contributors to changes in DMI, MPY, ECH4, and NUE. Crude protein was the main contributor to changes in UN/TN and another major contributor to changes in NUE. When considering OAT, the sensitivity of outputs showed differences depending on diet, more particularly for DMI and MPY. With grass hay-based diets (GH diets), DMI was less sensitive and MPY was more sensitive to variations in input variables than other diets. When considering GSA, interactions between input variables were also noticeable for DMI and MPY; the interactions were high with the GH diets for DMI, and with fresh ryegrass and grass silage diets for MPY. On the other hand, for MPY, the non-GH diets were less sensitive to variations in input variables and the interaction between inputs was higher than with GH diets. In both cases, the interactions were mainly related to energy-related inputs (i.e., OMd and GE). Our results support the hypothesis that MPY, unlike DMI, is more responsive to energy-related factors at high PDI/UFL ratio (i.e., between metabolizable protein and NEL, e.g., GH diets >117 g PDI/UFL), than at lower PDI/UFL ratio. Hence, hybridizing the SA methods can help to interpret the system and facilitate a more precise evaluation thereof, especially GSA, which is amenable to non-monotonic models such as those characterizing complex feeding systems integrating multiple nutritional and animal factors.

Effect of dietary fat source and concentration on feed intake, enteric methane and milk production in dairy cows

Dietary fat can be used in dairy cow nutrition to reduce enteric methane (CH4), but studies with multiple dietary fat concentrations are scarce. Among fat sources, rapeseed is easily accessible in Europe and North America, and palm kernel fat has been shown to be a potent inhibitor of ruminal methanogenesis. Forty-eight cows (half primiparous and half multiparous) were used in a 6 × 6 Latin square design, with 6 periods of 21 d each. Six treatments were used: a control, 3 fat concentrations (low, medium and high) of rapeseed (RS), and 2 fat concentrations (low and medium) of palm kernel fatty acids (PK). The total crude fat concentrations ranged from 3 to 7% of DM. The cows were fed the treatments as partial mixed ration, and they received additional concentrate from GreenFeed units (1 unit for 12 cows) used to measure CH4 production. Increased dietary crude fat concentration of both RS and PK reduced DMI. The reduction in DMI was stronger in cows fed medium concentration of PK than for any RS concentration, which was comparable to previous studies for both RS and PK. Digestibility of OM was highest at low fat concentration of both fat sources, and lowest at high RS concentration. Digestibility of NDF was reduced by 2 percentage units when cows were fed medium PK concentration instead of the control treatment. Rapeseed supplementation with dietary crude fat up to 5.7% of DM increased milk and energy corrected milk (ECM) yields, but the equivalent PK concentration reduced ECM. Increased fat supplementation decreased CH4 yield (g CH4/kg of DMI) linearly when RS was used, and quadratically when PK was used. Medium PK concentration reduced CH4 yield more than medium RS concentration, but there was no difference for CH4 intensity (g CH4/kg of ECM). Rapeseed fat supplementation with dietary crude fat above 5.7% of DM could reduce further CH4 yield, but fat supplementation was not accompanied by an increase in productivity. The fat source has to be accounted for when considering enteric methane reduction, as the PK provided stronger effect than RS, but the associated reduction in milk production did not support the use of PK for methane reduction.

Impact of Management and Nutrition on HSP70 Gene Expression in Heat-stressed Dairy Cows

Background: This research investigated the effects of management and nutrition strategies on dairy cows under heat stress. Objectives: We aimed to evaluate the effects of zinc mineral supplementation and mist spray, alone and in combination, on yield, milk production and composition, blood parameters and HSP70 gene expression in dairy cows. Methods: Sixteen Holstein lactating cows were used for our experiment in four treatment groups: Basal diet without heat stress alleviation methods (control), zinc supplementation in diet, basal diet and application of mist spray method and supplementation of zinc in basal diet with mist spray. We measured milk production and composition, blood parameters and HSP70 gene expression in all cows. Results: The results showed that the cows in the mist and zinc+mist treatments had significantly better performance and temperature-humidity index than the control group. The milk yield and its compounds were significantly affected by experimental treatments, with the best results seen in the treatment with both spray and zinc. The cows exposed to dry and lactation periods showed a significant increase in the concentration of blood biochemical factors and antioxidant indices in response to heat stress. HSP70 gene expression was significantly decreased in all treatments compared to the control. Conclusion: This experiment suggests that applying nutritional and management strategies can effectively mitigate the effects of heat stress on dairy cows. The study recommends using zinc supplementation and mist spray to alleviate heat stress effectively. Overall, this study highlights the importance of implementing management and nutrition strategies to improve the welfare and productivity of dairy cows under heat stress.

Effect of Replacing Corn Grain and Soybean Meal with Field Peas at Different Levels on Feed Intake, Milk Production, and Metabolism in Dairy Cows under a Restrictive Grazing.

This study assessed the effects of replacing soybean meal (SBM) and corn grain with field peas in the concentrate of grazing dairy cows on milk production, intake, ruminal fermentation, and blood indicators. Twelve multiparous lactating Holstein-Friesian cows were utilized in a replicated 3 × 3 Latin square design, comprising three periods and three treatments: (1) Pea-0 (Control diet): 6 kg dry matter (DM) of fresh pasture, 7.2 kg DM of grass silage, and 7 kg DM of a concentrate containing 0% pea; (2) Pea-30: Control diet with the concentrate composed of 30% pea; (3) Pea-60: Control diet with the concentrate composed of 60% pea. The effect of treatments on productive and metabolic parameters was evaluated using linear-mixed models. Pasture and total DM intake, milk production, and composition were unaffected by treatments. Despite the concentrates being isonitrogenous and isoenergetic, crude protein (CP) intake was slightly higher in Pea-30 and significantly higher in Pea-60 due to higher pasture CP content in the pasture grazed by these groups, leading to higher milk urea content, though within recommended ranges. Blood parameters showed no significant changes, except for plasma β-hydroxybutyrate, which was lowest in the Pea-60 treatment; however, all values were within ranges not indicative of subclinical ketosis. Ruminal fermentation parameters were similar across treatments. These findings support the use of field peas as a viable alternative to replace SBM and corn grain in concentrates, enabling similar milk production and composition in grazing dairy cows.

Levels of Matrix Metalloproteinase-9 (MMP-9) and its gene polymorphism of Hydatid Cyst Disease in an Infected Patients

Hydatid cystic disease is an economic burden in Iraq since it decreases the productivity of sheep, goats, cows, and camels by making the organs unpalpable for human consumption, hence weight-loss and ill health. This is one of the most common zoonosis diseases shared between human beings and animals and appears in man hosts inlcuded some organes, such as liver and lung as hydatid cyst . it causes many complications that may lead to death in repured parasites. Now there are no safe and effective in the fight against this parasite, and the search for such medications is in research. The Matrix Metalloproteinase-9 is a one of the enzymes that belong to the family of matrix metalloproteinases (MMPs), which play a crucial role in the proteolytic degradation of the extracellular matrix (ECM). These enzymes have a zinc ion in the active site that is important for their proteolytic activity. MMP-9, also known as Gelatinase B, catalyzes gelatin and degrades components of the ECM, including abundant type IV collagen in basement membranes. MMP-9 plays an important role in various biological processes, including tissue remodeling, angiogenesis, and tissue inflammation. The objective of the study is to determine the impact of MMP-9 serum levels and specific single nucleotide polymorphisms (SNPs) rs17576 and rs76070157 on patients with hydatid disease, in comparison to a control group of healthy individuals. A total of (62) patients diagnosed with hydatid disease, consisting of 18 males and 44 females, were compared to a control group of(75) individuals, comprising 29 males and 46 females .The study examined the MMP-9 rs17576 and rs76070157 )SNPs( in patients with hydatid disease, comparing them to a control group of healthy individuals. The study revealed no statistically significant difference in the average age between the two groups at a significance level of 0.05. Additionally, the study found higher concentrations of MMP-9 in the sera of the infected group (20.40 ± 1.52 pg/µl) compared to the control group (19.49 ± 1.62 pg/µl). The rs17576 )SNPs( data indicated that the TT genotype and T allele exhibited a slightly higher frequency percentage in the group of patients with hydatid disease compared to the healthy group, however this difference was not statistically significant. The values are (98.4% and 99.0%) the value of pc is 0.001. The elevated odds ratio (OR) associated with the TT genotype and T allele may serve as a potential risk factor for hydatid disease. The rs17576 SNPs displayed genotypes that were not in accordance with Hardy-Weinberg equilibrium. However, these genotypes were consistent with those observed in a control group. The GG genotype showed a significant increase in frequency compared to the control group (100.0% vs. 100.0%), while the G allele exhibited a non-significant increase in frequency. The odds ratio (OR) for the TG genotype was 3.68, and the p-value (pc) was 0.05.Elevated value could potentially increase the risk of hydatid disease. The presence of the TG genotype was shown to considerably increase the frequency percentage in the group of patients with hydatid disease. The odds ratio (OR) value of 1.6 suggests that it may be a risk factor for hydatid disease, with a frequency of 98.4% compared to 0.99 % in the control group. The p-value of 0.001 indicates a statistically significant association. The GG genotype was present in (0%) of the affected group but absent (100.0%) in the healthy group. The odds ratio (OR) of 3.68, with a p-value of 0.001, suggests that the GG genotype is associated with a significantly lower risk of hydatid disease.

Comparative time series analysis of Anatolian water buffalo stock in Türkiye

Water buffalo holds an important place in the livestock heritage in Türkiye. In the current study, buffalo numbers between 2023 and 2032 were estimated by using buffalo number data from 1991 to 2022. In the study, FAOSTAT data between 1961 and 2021 and TÜİK data for 2022 were used to obtain the time series. ARIMA modeling method was used in the study conducted in R programming language. ARIMA is a time series model that can make predictions from time series based on explaining univariate data. According to the results of the analysis made in the study, it is seen that the number of buffaloes in Türkiye will continue to decrease. According to the results obtained, it is estimated that the number of buffaloes will be 157,755 heads in 2023, 96,851 heads in 2027 and 19,136 heads in 2032. The disease resistance of buffaloes, their high adaptability, the high demand for water buffalo products, the preference for high-yielding cows for milk production despite government support payments, increasing mechanization, the reduction of buffalo habitats and the increase in input costs have led to a decline in Anatolian water buffalo populations. To prevent the Anatolian water buffalo from being threatened with extinction, the population decline must be halted and improved. To ensure this, the decline of the pastures that form the buffalo’s habitat must be halted, pasture areas must be increased, and existing pastures rehabilitated, government subsidies for buffalo and calf rearing must be increased and market opportunities for buffalo products must be expanded.

Evaluating GreenFeed and respiration chambers for daily and intraday measurements of enteric gaseous exchange in dairy cows housed in tie-stalls

The objective of this study was to evaluate the GreenFeed (GF) and respiration chambers (RC) for daily and intraday measurements of the enteric gaseous exchange, as well as the metabolic heat production, lying behavior, and feed intake (FI) rate of dairy cows at these 2 respective housing conditions [tie-stall barn (TS) vs. RC] during the summer periods. Sixteen multiparous lactating dairy cows were recruited and arranged in a randomized complete block design with a baseline period established for each cow. Cows were given a basal diet (CON) for a baseline period of 7 d and were then fed a 3-nitrooxypropanol (3-NOP)-containing feed for the subsequent 26 d as experimental period. During both the baseline and the last 7 d of treatment period, gaseous exchanges of each animal were measured in the TS using GF for 8 6-hourly staggered measurements over 3 d, immediately followed by the measurement in RC for 2 d. Corresponding DMI, milk yield, and behavior parameters (e.g., lying behavior and FI rate) in TS and RC were recorded. The correlation coefficients of CH4 and H2 using raw data were 0.84 and 0.85, respectively. For all gases, correlation coefficients between GF and RC on individual cow level decreased when the marginal fixed effects (e.g., inhibitor and breed) were corrected by a mixed model. There were no differences in daily CH4 production or intensity between GF and RC (442 vs. 443 g CH4/d or 16.6 vs. 16.2 g CH4 /kg MY). However, greater CH4 yield was measured by GF than RC (19.0 vs. 17.8 g CH4/kg DMI), driven by a lower DMI (23.3 vs. 24.6 kg/d) when cows were housed in TS sampled by GF compared with cows being housed and sampled in RC. The correlations for CO2 production and O2 consumption were moderate and expected due to the variation associated with the mild heat stress condition during GF measurements in the TS (Thermal humidity index (THI) 56 vs. 68), as indicated by the reduced lying time (-2.1 h/d). At the intraday level, there was an interaction between techniques and hour-of-day for CH4 production, as indicated by the discrepancies in post-prandial CH4 emissions between techniques. In summary, this set of results showed that there were strong positive correlations for CH4 and H2 emissions between GF and RC based on individual cow data. However, such relationship should be interpreted with caution, given the data clustering resulting from the use of inhibitor 3-NOP. On treatment level, these 2 techniques detected similar inhibitor effect on the estimated daily CH4 emissions. The intraday patterns of CH4 and H2 production captured by GF provided a close approximation for those measured by RC. Nevertheless, potential underestimation may occur, especially following fresh feed delivery. For measuring CO2 production and O2 consumption, the GF captured similar intraday variations to those in the RC. However, the estimated daily production and consumption were not directly comparable, which was expected due to the variable thermal conditions during the summer. Further evaluations under the same weather conditions are warranted.

Risk factors and population attributable fractions for displaced abomasum in Iranian dairy cattle: a retrospective analysis of field data.

Displaced abomasum (DA) usually occurs in the early postpartum period and can negatively affect production and welfare of dairy cows. The objective of this research was to identify predictors for the occurrence of DA in Iranian Holsteins. Therefore, we analyzed data collected from six commercial dairy farms in Iran (calving between January 2011 and October 2020). We used generalized linear mixed-effects model to identify predictors based on estimates of odds ratios (ORs). Population attributable fractions (PAFs) were then calculated, as these are expected to more accurately prioritize risk factors on population level by considering the association between the risk factor and the its prevalence in the population. Over the 6 herds, the average percentage of DA was 2.5% (range 1.1-3.4% across herds). The results showed that calving during winter increased the odds of DA 1.4 times. Cows with high milk fat-to-protein ratio before the occurrence of disease, abnormal calving (including dystocia, stillbirth, and twinning) and long pregnancy length (≥ 280 d) showed increased odds of DA with ORs of 1.52, 1.31 and 1.30, respectively. Milk yield was also positively associated with DA in next lactation. Among the modifiable predictors of DA, the highest PAF was for the ratio of milk fat-to-protein (11.0%); other PAFs were retained placenta (4.1%), metritis (3.1%), abnormal calving (2.7%), and ketosis (2.7%). The results of the present study can provide managers with the a helpful strategy to reduce the occurrence of DA.

Влияние возраста первого отела на молочную продуктивность и качество молока

Nowadays, in order to reduce the cost of replacement heifers raising, early insemination and, accordingly, earlier use of cows are practiced in many farms. The purpose of the research is to study the relationship between milk productivity and the age of the first insemination of Holstein heifers under the conditions of OOO Kaluzhskaya Niva (a limited liability company under the laws of Russian Federation) in the Peremyshl district. The experimental groups were formed from cows with completed fourth lactation, taking into account the age of the first fruitful insemination. As the result of the study, it was found out that the optimal insemination index is observed at heifers of the first and second groups upon reaching the age of 12-14 months with a live weight of 337.6-340.9 kg. The shortage of live weight of heifers by the age of 12 months lengthens the time of raising, and reduces the effectiveness of their insemination (group 4 – the multiplicity of insemination is 3.3). The maximum growth rate was observed at heifers of the first group and made 865-931 g/day, which is 6.1-32.1% higher than in heifers of the other groups. When analyzing the dairy productivity of cows, there is a tendency to decrease the level at the second and third lactations, and an increase in the fourth lactation in comparison with the first one. More balanced lactation activity in a number of lactations is observed in cows of the third group (II lactation decreased by 2%, III - decreased by 5%, IV – increased by 17.5%, compared with the first lactation). At the same time, the variation in milk yield in cows of the other groups ranges from -9.2% to +20.6%. The differences in the indicators of the mass fraction of fat and the mass fraction of protein in milk of cows of different groups are not significant. The tendency of decrease of the mass fraction of fat in milk in cows of all groups is noted by the 4th lactation, with increase in the mass fraction of protein. Thus, for the manifestation of high milk productivity and its preservation in a number of lactation, the optimal age for the first insemination of Holstein heifers is 15-16 months.

ОЦЕНКА КОРОВ-ПЕРВОТЁЛОК ЧЁРНО-ПЁСТРОЙ ПОРОДЫ ПО ДНК-МАРКЕРАМ, АССОЦИИРОВАННЫХ С ХОЗЯЙСТВЕННО-ПОЛЕЗНЫМИ ПРИЗНАКАМИ

At present time are widely used genetic markers as means in the selection of highly productive animals. Since the genes: CSN3 (kappa-casein), PIT-1 (pituitary-specific transcription factor), PRL (prolactin), GH (somatotropin) are polymorphic and encode various proteins, the study of their influence on the productive traits of cattle is relevant. In this regard, the goal of the work is to determine the influence of complex genotypes of the studied genes on the milk productivity of first-calf cows of the Black-and-White breed bred in the collective farm-breeding plant «Kazminsky» in the Kochubeevsky district of the Stavropol Territory. The place of research is the Department of Genetics and Biotechnology, VNIIOK, a branch of the North Caucasian Federal National Research Center. This article presents the results of DNA genotyping of allelic polymorphism for the CSN3, PIT-1, PRL, GH genes using PCR-RFLP methods in first-calf cows of the Black-and-White breed. It was established that these genes in the studied sample are polymorphic. The frequency of occurrence of the desired CSN3B allele in the studied sample was 0.23. The presence of alleles PIT-1A and PIT-1B of the pituitary-specific transcription factor gene was noted with a frequency of occurrence of 0.52 and 0.48. A feature of the PRL gene polymorphism was the fairly high frequency of occurrence of the PRLA allele (0.60). In this study sample of dairy cattle, the frequency of occurrence of the desired GHL allele of the somatotropin gene was 0.62. All variants of complex genotypes were also identified and their relationship with milk productivity in black-and-white cows was noted. The study sample was dominated by animals carrying complex desirable genotypes, consisting of four and three marker alleles of three and two genes (CSN3AB/PIT-1BB/GHLV; CSN3AB/PIT1AB/GHLL or PIT-1AB/PRLAB/GHLV; PIT-1AA/GHLL ) - 46.7 %. Milk yield per lactation between groups of black-and-white first-calf cows with different complex genotypes ranged from 5839.14 to 8611.33 kg. The mass fraction of fat in milk ranged from 3.93 to 4.04 %, and protein from 2.99 to 3.14 %.

Shifting feed delivery time: effects on feeding behavior, milk production, and blood biomarkers in late-lactating dairy cows

Improving the synchronization between the pattern of milk synthesis and nutrient availability throughout the day could enhance production efficiency. In this study, we evaluated the effects of changing feed delivery time on milk production, feeding behavior, and the daily rhythms of blood biomarkers. Eight multiparous Holstein cows housed in a tie-stall barn with controlled environmental conditions were enrolled in a crossover experimental design with three periods of 14 days and three treatments each. Cows were milked twice daily (0530 and 1730 h) and were individually fed with two equal meals of forage and eight equal meals of concentrate during the day. Forage meals were provided at 12-hour intervals either: (i) 5 h before each milking (0030 and 1230 h; BM), (ii) at the end of each milking (0530 and 1730 h; ME), (iii) or 2 h after (0730 and 1930 h; AM). Feed intake and feeding behavior were monitored, and milk production and composition were measured. Blood samples were collected every 4 days at 0700 h and, during the last day of each period, 15 times daily to determine metabolic profiles, hormones, and their daily rhythmicity by the cosinor analysis. Changing forage delivery time did not affect milk yield and dry matter intake. No difference was observed in feeding behavior when expressed relative to the first meal. There were no significant differences in milk component contents and yields. In samples collected at 0700 h, ME had reduced plasma calcium (Ca), magnesium (Mg), and potassium (K) and increased sodium (Na). AM had increased inflammation, as suggested by the greater blood globulin and ceruloplasmin. The patterns of metabolic biomarkers had limited variations when expressed relative to the first forage meal. Nevertheless, the daily rhythms of these biomarkers were remarkably different. Under our conditions, feeding forage meals to cows at different times of the day did not influence productive performance but highlighted the importance of considering the sampling time when interpreting metabolic profiles.

Transforming Indian cattle industry for building sustainable future

India is one of the 17 global mega-biodiversity hotspots and harbours a rich diversity of flora and fauna with more than 212 breeds of various livestock species registered at the national level. Livestock sector contributes immensely to the national GDP of India with appreciable annual growth in dairying sector. The cattle population in India is mainly concentrated in its northern and western regions. Raising cattle is deeply ingrained into the social, cultural, and traditional fabric of many communities in India. It forms an important source of livelihood for rural masses. India faces a twin challenge of sustainable management of its huge cattle inventory while improving the productivity of animals and profitability of farmers within the minimum possible time. It is coupled with other challenges in terms of the limited resource base and changing agro-climatic trends along with the ever-looming threat of climate change. The profitability of rearing cattle has increased gradually since independence mainly due to staunch efforts made during the White Revolution and subsequently its carry-over effect. The adult female cattle population of India has increased 1.67 times from 54.4 million in 1951 to 145.12 million in 2019. There is an utmost need for improvement of productivity of cows using modern genetic approaches coupled with improvement in different facets of breeding, feeding and healthcare management. Streamlining the marketing channels, expanding the market network, and establishing a suitable farmers’ co-operative system across the country for dairy products offer opportunities for improved income of the dairy farmers besides providing nutritional security to rural masses. The present policy paper attempts to traverse through the important milestones and programmes in the cattle sector that led India to the stage of self-sustenance, besides analyzing the current threats and challenges faced by the industry along with possible solutions

Optimized Machine Learning Models for Predicting Core Body Temperature in Dairy Cows: Enhancing Accuracy and Interpretability for Practical Livestock Management.

Heat stress poses a significant challenge to livestock farming, particularly affecting the health and productivity of high-yield dairy cows. This study develops a machine learning framework aimed at predicting the core body temperature (CBT) of dairy cows to enable more effective heat stress management and enhance animal welfare. The dataset includes 3005 records of physiological data from real-world production environments, encompassing environmental parameters, individual animal characteristics, and infrared temperature measurements. Employed machine learning algorithms include elastic net (EN), artificial neural networks (ANN), random forests (RF), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and CatBoost, alongside several optimization algorithms such as Bayesian optimization (BO) and grey wolf optimizer (GWO) to refine model performance through hyperparameter tuning. Comparative analysis of various feature sets reveals that the feature set incorporating the average infrared temperature of the trunk (IRTave_TK) excels in CBT prediction, achieving a coefficient of determination (R2) value of 0.516, mean absolute error (MAE) of 0.239 °C, and root mean square error (RMSE) of 0.302 °C. Further analysis shows that the GWO-XGBoost model surpasses others in predictive accuracy with an R2 value of 0.540, RMSE as low as 0.294 °C, and MAE of just 0.232 °C, and leads in computational efficiency with an optimization time of merely 2.41 s-approximately 4500 times faster than the highest accuracy model. Through SHAP (SHapley Additive exPlanations) analysis, IRTave_TK, time zone (TZ), days in lactation (DOL), and body posture (BP) are identified as the four most critical factors in predicting CBT, and the interaction effects of IRTave_TK with other features such as body posture and time periods are unveiled. This study provides technological support for livestock management, facilitating the development and optimization of predictive models to implement timely and effective interventions, thereby maintaining the health and productivity of dairy cows.

Efficiency of use of land and feed resources to increase milk productivity of cows

Efficiency of use of land and feed resources to increase milk productivity of cows

Digestion activator MegaBoost Rumen in feeding of highly productive cows

Digestion activator MegaBoost Rumen in feeding of highly productive cows

Helminth co-infections have no additive detrimental impact on milk yield and milk quality compared to mono-infections in German dairy cows

BackgroundInfections with (tricho-)strongyles, Dictyocaulus viviparus or Fasciola hepatica have been shown to reduce milk production in dairy cows. However, the current published studies focused on one single helminth infection by neglecting helminth co-infections and their possible (additive) effects on host performance. Hence, for the first time, we investigated differences in the impact of patent helminth co-infections versus mono-infections on milk production parameters in individual cows.MethodsA total of 1583 dairy cows from 27 herds were included in this study. Faecal samples were examined in 2015 and 2021/2022 to determine the number of eggs/larvae per gram faeces for (tricho-)strongyles, D. viviparus, F. hepatica and rumen flukes. The cows were classified as non-infected, mono-infected and co-infected. Linear mixed models were applied to analyse the association between infection status (non-infected vs. mono-infected vs. co-infected) with milk yield, milk protein and milk fat content by including potential confounders.ResultsInfections with (tricho-)strongyles, D. viviparus, F. hepatica and rumen flukes were detected in 100%, 28.6%, 50.0% and 21.4% of herds, and 27.4%, 2.6%, 10.8% and 0.8% of faecal samples in 2015, while 100%, 0.0%, 86.7% and 60.0% of herds and 52.3%, 0.0%, 13.3% and 26.8% of faecal samples were positive in 2021/2022. Co-infections with two or more helminth taxa were detected in 74.4% of herds and 5.0% of faecal samples in 2015, and in 93.3% of herds and 21.7% of faecal samples in 2021/2022. The correlations between strongyle EPG, D. viviparus LPG and F. hepatica EPG were significantly positive in 2015. Significantly higher mean EPGs were identified in 2015 in faecal samples presenting co-infections with F. hepatica and one or two other helminth taxa than in faecal samples presenting F. hepatica mono-infections (P = 0.013). Although expected, the infection status (mono- or co-infected) had no significant impact on milk yield, milk protein and milk fat content in the linear mixed model analyses based on individual faecal examinations.ConclusionsPatent helminth co-infections had no additive detrimental impact on milk production parameters in the present study. This might be a result of presumably low worm burdens, but should be confirmed in future studies.Graphical

Performance evaluation of Uruguayan dairy farming systems

In the last 20 years, the Uruguayan dairy sector has intensified and concentrated on higher cow productivity, maintaining the herd, smaller land, and fewer farms. The research aims are to identify, describe, and evaluate the economic performance of different types of dairy farms. A sample of 284 farms from the National Dairy Farm Survey 2019 was used (representing 2,021 dairies); using k-means Cluster analysis with the variables: cow productivity, stocking rate, land productivity, concentrate, roughage, and grass intake (per hectare). We identified six farm types, three with high participation of grass in the cows’ diets (HG, 60% or more of dry matter intake), and the other three focused on supplementation (HS); with three intensification levels (1-low, 2-intermediate and 3-high productivity per ha). For the 2018/19 season three types of farms presented the best economic performance (HS-3, HG-3, and HG-2), including those with the highest stocking rate and grass intake per hectare, and more than USD 225 Economic Farm Surplus (EFS) per hectare with the lower unitary cost. Other two types exhibited intermediate economic performance (HS-2 and HG-1) with EFS close to zero and unitary cost similar to price. And one type (HS-1) displayed the worst economic performance, with negative indicators and the largest number of farms with very low productivity.

Individualised feeding of concentrate supplement according to milk yield did not increase milk production in pasture-grazed cows near peak lactation

ABSTRACT In grazing systems, feeds other than pasture are often used to increase dry matter intake and milk production. The study aimed to evaluate the effect of individually feeding pasture-grazed dairy cows near peak lactation based on their individualised milk production compared with a flat-rate feeding regime. All cows in the flat-rate treatment were offered 4 kg wet weight (3.6 kg DM) of concentrate/d. In the individualised feeding treatment, cows were offered 6, 4, and 2 kg wet weight/d (5.4, 3.6 and 1.8 kg DM/d) in the high, moderate, and low production groups, respectively. Individualised feeding of concentrates based on cow milk production did not alter milk or milk component yield at a herd level, but increased milk yield and tended to increase yield of fat, protein, and lactose in cows in the medium milk yield tertile. Individualised feeding reduced milk protein yield in cows in the low milk yield tertile, compared with flat rate feeding. The results do not support individualised feeding in grazing dairy systems where the maximum level of concentrate offered/ is ≤ 6 kg DM/d and milk production/cow ≤30 kg milk/d or ≤2.5 kg fat and protein/d.

Prevalence and Risk Factor of Repeat Breeder Syndrome in Dairy Cows in KUD Bebarengan Anggayuh Tentrem Urip, Batu City, East Java Province

This study aims to contribute valuable insights to readers and serve as a reference for dairy farmers looking to enhance their operations. By examining the prevalence and risk factors associated with repeat breeder syndrome in dairy cows within the Village Unit Cooperation (KUD) Bebarengan Anggayuh Tentrem Urip, Batu City, East Java Province, this study aims to aid in preventing such occurrences and ultimately improve dairy cow productivity. The survey method was employed, utilizing data sourced from cooperative and farmer records, as well as observations, interviews, and questionnaire responses. Analysis revealed that out of 50 farmers owning a total of 281 cows, 30 farmers possessed a combined total of 58 dairy cows classified as repeat breeders. Consequently, the prevalence rate of repeat breeders among farmers was found to be 20.64%. Descriptive analysis was conducted on the collected data, with additional SPSS Chi-Square (X²) analysis performed to identify risk factors associated with repeat breeders. These risk factors include breeder experience, knowledge of reproduction and estrus phases, communication with artificial inseminators and veterinarians, housing conditions, as well as factors related to livestock feed and water.

Utilization of Assisted Reproductive Technologies in Breeding Auliekol Cattle: A Comparative Study.

This study evaluates the utilization of in vitro embryo production (IVEP) technology for the conservation and breeding of the Auliekol cattle breed, a primary beef breed in Kazakhstan facing population decline due to the cessation of breeding programs and the incursion of transboundary diseases. We assessed the effect of consecutive ovum pick-up (OPU) procedures on oocyte yield and embryo production in Auliekol and Aberdeen Angus cows. A total of 2232 and 3659 oocytes were aspirated from Auliekol and Aberdeen Angus donors, respectively, with significantly higher yields and embryo production observed in Aberdeen Angus cows. The application of a meiotic block using Butyrolactone I (BLI) and subsequent in vitro fertilization (IVF) protocols was employed, with embryo development monitored up to the morula/blastocyst stage. Results indicated that Auliekol cows exhibited lower oocyte recovery, cleavage, and blastocyst rates compared to Aberdeen Angus cows, likely due to genetic characteristics. Despite the challenges, IVEP presents a valuable tool for the preservation and future propagation of the Auliekol breed, highlighting the need for further research to enhance reproductive outcomes and conservation strategies.